The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-14"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "38511143 (up from 38130527 yesterday: 1 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1092149 (up from 1086146 yesterday: 0.55 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 6642213

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.84



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 7916099 59494 0.76 982551 216872 985 0.46 2.74
India 7307097 67708 0.94 1574579 111266 680 0.61 1.52
Brazil 5140863 27235 0.53 549499 151747 749 0.50 2.95
Russia 1332824 14041 1.06 215337 23069 235 1.03 1.73
Argentina 931967 14932 1.63 267168 24921 349 1.42 2.67
Colombia 930159 6061 0.66 145891 28306 165 0.59 3.04
Spain 908056 11970 1.34 214500 33413 209 0.63 3.68
Peru 853974 0 0.00 77428 33419 0 0.00 3.91
Mexico 829396 4056 0.49 119347 84898 478 0.57 10.24
France 820376 22119 2.77 311920 33058 76 0.23 4.03
South Africa 696414 1877 0.27 31226 18151 123 0.68 2.61
United Kingdom 657459 19751 3.10 245214 43245 137 0.32 6.58
Iran 513219 4830 0.95 80421 29349 279 0.96 5.72
Chile 485372 1092 0.23 35469 13415 19 0.14 2.76
Iraq 413215 3857 0.94 80580 10021 51 0.51 2.43
Bangladesh 382959 1684 0.44 29115 5593 16 0.29 1.46
Italy 372799 7332 2.01 70262 36289 43 0.12 9.73
Philippines 346536 1823 0.53 51945 6449 77 1.21 1.86
Indonesia 344749 4127 1.21 87361 12156 129 1.07 3.53
Germany 344487 7173 2.13 65462 9716 34 0.35 2.82
Saudi Arabia 340590 501 0.15 9231 5108 21 0.41 1.50
Turkey 340450 1671 0.49 32381 9014 57 0.64 2.65
Pakistan 321218 755 0.24 13001 6614 13 0.20 2.06
Israel 298500 1848 0.62 93810 2098 43 2.09 0.70
Ukraine 283762 5780 2.08 94274 5365 111 2.11 1.89
Netherlands 201942 7351 3.78 96638 6720 31 0.46 3.33
Canada 192064 2575 1.36 42125 9719 12 0.12 5.06
Belgium 181511 8271 4.77 74624 10278 34 0.33 5.66
Romania 164477 4016 2.50 48062 5601 66 1.19 3.41
Morocco 160333 3387 2.16 52590 2726 41 1.53 1.70
Ecuador 149083 912 0.62 19191 12264 29 0.24 8.23
Poland 141804 6526 4.82 60131 3217 116 3.74 2.27
Czechia 139290 9543 7.36 83826 1172 66 5.97 0.84
Bolivia 139141 219 0.16 7151 8377 26 0.31 6.02
Qatar 128603 198 0.15 4428 220 0 0.00 0.17
Panama 122128 832 0.69 14138 2519 8 0.32 2.06
Dominican Republic 119662 654 0.55 9925 2186 3 0.14 1.83
Nepal 117996 2638 2.29 50192 675 12 1.81 0.57
Kuwait 113269 532 0.47 11970 676 4 0.60 0.60
United Arab Emirates 110039 1431 1.32 22509 450 2 0.45 0.41
Kazakhstan 109094 110 0.10 1565 1768 0 0.00 1.62
Oman 107776 563 0.53 12437 1061 8 0.76 0.98
Egypt 104915 128 0.12 2540 6077 6 0.10 5.79
Sweden 101332 678 0.67 11576 5907 8 0.14 5.83
Guatemala 99094 714 0.73 11652 3430 20 0.59 3.46
Costa Rica 91780 1542 1.71 23721 1134 10 0.89 1.24
Portugal 91193 2072 2.32 20728 2117 7 0.33 2.32
China 90869 11 0.01 460 4739 0 0.00 5.22
Japan 90694 541 0.60 10685 1646 11 0.67 1.81
Ethiopia 86430 712 0.83 15347 1312 7 0.54 1.52
Honduras 85458 606 0.71 12783 2533 5 0.20 2.96
Belarus 85121 597 0.71 8764 911 5 0.55 1.07
Venezuela 85005 614 0.73 15566 714 4 0.56 0.84
Bahrain 76621 349 0.46 9607 287 2 0.70 0.37
Switzerland 68704 2823 4.28 17603 2109 6 0.29 3.07
Moldova 64424 1149 1.82 16192 1514 19 1.27 2.35
Uzbekistan 61950 308 0.50 8675 514 3 0.59 0.83
Nigeria 60834 179 0.30 3110 1116 0 0.00 1.83
Austria 58672 1346 2.35 18688 872 11 1.28 1.49
Armenia 58624 1058 1.84 10747 1039 7 0.68 1.77
Singapore 57889 5 0.01 250 28 0 0.00 0.05
Lebanon 57246 1377 2.46 25454 499 20 4.18 0.87
Algeria 53584 185 0.35 3184 1827 9 0.50 3.41
Paraguay 51845 648 1.27 16274 1131 23 2.08 2.18
Kyrgyzstan 50201 330 0.66 4571 1094 2 0.18 2.18
Ghana 47126 0 0.00 973 310 0 0.00 0.66
Libya 45821 836 1.86 15724 669 13 1.98 1.46
West Bank and Gaza 45658 458 1.01 8575 393 2 0.51 0.86
Ireland 45243 1084 2.45 11568 1835 5 0.27 4.06
Azerbaijan 42750 369 0.87 3226 616 4 0.65 1.44
Kenya 42541 604 1.44 5193 797 10 1.27 1.87
Hungary 40782 920 2.31 20332 1023 27 2.71 2.51
Afghanistan 39994 66 0.17 849 1481 1 0.07 3.70
Serbia 35251 245 0.70 2171 768 1 0.13 2.18
Tunisia 34790 2234 6.86 22311 512 34 7.11 1.47
Denmark 34087 493 1.47 9265 675 1 0.15 1.98
Bosnia and Herzegovina 31655 482 1.55 5574 958 11 1.16 3.03
Burma 31325 888 2.92 23498 732 39 5.63 2.34
El Salvador 30766 286 0.94 2812 904 5 0.56 2.94
Jordan 30550 2423 8.61 24508 257 32 14.22 0.84
Australia 27357 20 0.07 377 904 0 0.00 3.30
Bulgaria 26593 819 3.18 7310 929 6 0.65 3.49
Korea, South 24988 99 0.40 1647 439 1 0.23 1.76
Greece 23495 435 1.89 7209 469 7 1.52 2.00
Slovakia 22296 1410 6.75 15027 66 5 8.20 0.30
Croatia 21741 748 3.56 6401 334 4 1.21 1.54
North Macedonia 21636 443 2.09 4587 809 9 1.12 3.74
Cameroon 21441 238 1.12 751 423 0 0.00 1.97
Cote d’Ivoire 20217 34 0.17 787 120 0 0.00 0.59
Malaysia 17540 660 3.91 7035 167 4 2.45 0.95
Madagascar 16754 0 0.00 587 237 0 0.00 1.41
Kosovo 16425 80 0.49 1155 650 1 0.15 3.96
Albania 15955 203 1.29 3168 434 5 1.17 2.72
Norway 15953 160 1.01 2676 277 0 0.00 1.74
Zambia 15616 29 0.19 1173 345 0 0.00 2.21
Senegal 15331 24 0.16 536 316 1 0.32 2.06
Montenegro 14461 193 1.35 5033 217 4 1.88 1.50
Sudan 13691 0 0.00 113 836 0 0.00 6.11
Georgia 13521 680 5.30 9381 109 7 6.86 0.81
Finland 12703 204 1.63 3415 350 4 1.16 2.76
Namibia 12069 69 0.57 1406 130 1 0.78 1.08
Guinea 11188 54 0.49 754 70 0 0.00 0.63
Maldives 11062 69 0.63 1177 35 0 0.00 0.32
Congo (Kinshasa) 10935 63 0.58 398 281 5 1.81 2.57
Mozambique 10392 134 1.31 3130 73 0 0.00 0.70
Tajikistan 10336 39 0.38 861 79 0 0.00 0.76
Uganda 10069 124 1.25 3190 95 0 0.00 0.94
Luxembourg 10030 190 1.93 1940 133 0 0.00 1.33

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 865204 3894 0.45 68768 16729 85 0.51 1.93 21897.12 423.39 1 in 46
Texas 832736 5920 0.72 89823 17188 110 0.64 2.06 28719.11 592.77 1 in 35
Florida 741632 2883 0.39 51133 15595 64 0.41 2.10 34530.27 726.10 1 in 29
New York 477940 1232 0.26 26048 33316 10 0.03 6.97 24568.25 1712.59 1 in 41
Georgia 334601 1297 0.39 24440 7470 16 0.21 2.23 31514.33 703.56 1 in 32
Illinois 330637 2866 0.87 49334 9320 47 0.51 2.82 26092.30 735.49 1 in 38
North Carolina 236407 1926 0.82 39907 3856 40 1.05 1.63 22540.53 367.66 1 in 44
Arizona 227635 901 0.40 12351 5772 5 0.09 2.54 29893.39 757.99 1 in 33
Tennessee 220538 1709 0.78 33740 2828 31 1.11 1.28 32274.61 413.86 1 in 31
New Jersey 216023 938 0.44 15035 16191 9 0.06 7.50 24320.92 1822.86 1 in 41
Pennsylvania 180935 1284 0.71 23599 8391 30 0.36 4.64 14133.35 655.45 1 in 71
Ohio 173665 2039 1.19 26912 5033 16 0.32 2.90 14857.00 430.57 1 in 67
Louisiana 173121 320 0.19 10476 5695 16 0.28 3.29 37239.98 1225.05 1 in 27
Alabama 167977 784 0.47 20824 2706 41 1.54 1.61 34258.75 551.89 1 in 29
Virginia 161236 789 0.49 18777 3378 9 0.27 2.10 18890.01 395.76 1 in 53
South Carolina 159809 926 0.58 18123 3593 17 0.48 2.25 31038.62 697.84 1 in 32
Wisconsin 158578 3107 2.00 52646 1536 28 1.86 0.97 27235.69 263.81 1 in 37
Michigan 154455 1593 1.04 23196 7268 13 0.18 4.71 15465.83 727.76 1 in 65
Missouri 150794 4435 3.03 32589 2544 120 4.95 1.69 24569.58 414.51 1 in 41
Massachusetts 140992 580 0.41 12480 9647 17 0.18 6.84 20288.07 1388.16 1 in 49
Indiana 139269 1165 0.84 25932 3836 14 0.37 2.75 20686.94 569.80 1 in 48
Maryland 132918 575 0.43 11621 4022 10 0.25 3.03 21985.62 665.27 1 in 45
Minnesota 115943 1369 1.19 23843 2233 29 1.32 1.93 20558.61 395.95 1 in 49
Mississippi 106817 876 0.83 12244 3140 25 0.80 2.94 35891.01 1055.05 1 in 28
Iowa 102904 1482 1.46 20033 1505 14 0.94 1.46 32615.44 477.01 1 in 31
Oklahoma 102615 1122 1.11 22454 1132 13 1.16 1.10 25932.71 286.08 1 in 39
Washington 95509 734 0.77 11807 2221 10 0.45 2.33 12542.40 291.67 1 in 80
Arkansas 95246 1079 1.15 17283 1634 23 1.43 1.72 31561.14 541.45 1 in 32
Utah 88963 1144 1.30 23042 527 5 0.96 0.59 27749.27 164.38 1 in 36
Nevada 87314 479 0.55 10507 1691 17 1.02 1.94 28347.27 549.00 1 in 35
Kentucky 83013 1322 1.62 19498 1276 7 0.55 1.54 18580.81 285.61 1 in 54
Colorado 80753 692 0.86 14104 2160 7 0.33 2.67 14022.70 375.08 1 in 71
Kansas 67805 945 1.41 12959 817 18 2.25 1.20 23274.18 280.44 1 in 43
Connecticut 61861 164 0.27 5546 4537 4 0.09 7.33 17350.92 1272.55 1 in 58
Puerto Rico 55516 976 1.79 12856 742 4 0.54 1.34 17383.01 232.33 1 in 58
Nebraska 54467 924 1.73 12189 530 3 0.57 0.97 28156.93 273.99 1 in 36
Idaho 49892 645 1.31 11149 516 4 0.78 1.03 27840.51 287.94 1 in 36
Oregon 38160 380 1.01 6657 608 3 0.50 1.59 9047.51 144.15 1 in 111
New Mexico 34290 577 1.71 6303 921 3 0.33 2.69 16353.26 439.23 1 in 61
South Dakota 30215 876 2.99 10581 291 3 1.04 0.96 34154.40 328.94 1 in 29
North Dakota 28947 703 2.49 9966 365 8 2.24 1.26 37985.10 478.96 1 in 26
Rhode Island 27164 204 0.76 2987 1147 8 0.70 4.22 25641.87 1082.73 1 in 39
Delaware 22465 71 0.32 2635 660 1 0.15 2.94 23070.27 677.78 1 in 43
Montana 20210 599 3.05 9298 225 8 3.69 1.11 18909.45 210.52 1 in 53
West Virginia 18823 266 1.43 4308 393 3 0.77 2.09 10532.43 219.90 1 in 95
District of Columbia 16132 64 0.40 1082 638 1 0.16 3.95 22857.98 904.00 1 in 44
Hawaii 13674 99 0.73 1985 183 10 5.78 1.34 9657.65 129.25 1 in 104
Alaska 10170 142 1.42 3166 64 4 6.67 0.63 13902.08 87.49 1 in 72
New Hampshire 9349 70 0.75 1342 458 2 0.44 4.90 6875.73 336.84 1 in 145
Wyoming 8177 213 2.67 3008 57 0 0.00 0.70 14128.51 98.49 1 in 71
Maine 5816 36 0.62 646 143 0 0.00 2.46 4326.70 106.38 1 in 231
Vermont 1889 3 0.16 167 58 0 0.00 3.07 3027.30 92.95 1 in 330

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 16425487 865204 5.27 2546064 68768 2.70 415706.5
2 Texas 7067676 832736 11.78 1327002 89823 6.77 243747.6
3 Florida 5615247 741632 13.21 459267 51133 11.13 261445.0
4 New York 12342180 477940 3.87 2206488 26048 1.18 634443.2
5 Georgia 3204308 334601 10.44 401093 24440 6.09 301797.2
6 Illinois 6466961 330637 5.11 1233156 49334 4.00 510341.9
7 North Carolina 3467235 236407 6.82 624808 39907 6.39 330588.0
8 Arizona 1589202 227635 14.32 179336 12351 6.89 208696.6
9 Tennessee 3243821 220538 6.80 530478 33740 6.36 474716.6
10 New Jersey 4036867 216023 5.35 614120 15035 2.45 454490.0
11 Pennsylvania 2250651 180935 8.04 307695 23599 7.67 175804.8
12 Ohio 3726652 173665 4.66 795453 26912 3.38 318814.3
13 Louisiana 2519723 173121 6.87 299714 10476 3.50 542016.5
14 Alabama 1226221 167977 13.70 155318 20824 13.41 250086.6
15 Virginia 2304369 161236 7.00 381763 18777 4.92 269974.1
16 South Carolina 1526565 159809 10.47 335981 18123 5.39 296494.4
17 Wisconsin 1735471 158578 9.14 263066 52646 20.01 298066.2
18 Michigan 4129412 154455 3.74 704305 23196 3.29 413484.6
19 Missouri 2206374 150794 6.83 961811 32589 3.39 359494.9
20 Massachusetts 4896199 140992 2.88 1419520 12480 0.88 704539.4
21 Indiana 1511060 139269 9.22 188241 25932 13.78 224452.0
22 Maryland 1760654 132918 7.55 208549 11621 5.57 291225.1
23 Minnesota 2367344 115943 4.90 493477 23843 4.83 419769.2
24 Mississippi 811472 106817 13.16 94761 12244 12.92 272658.4
25 Iowa 829253 102904 12.41 97400 20033 20.57 262831.9
26 Oklahoma 1385669 102615 7.41 271343 22454 8.28 350184.3
27 Washington 2123908 95509 4.50 383009 11807 3.08 278915.0
28 Arkansas 1173342 95246 8.12 266395 17283 6.49 388803.9
29 Utah 940687 88963 9.46 164829 23042 13.98 293418.4
30 Nevada 747418 87314 11.68 75494 10507 13.92 242655.9
31 Kentucky 1601887 83013 5.18 385108 19498 5.06 358550.6
32 Colorado 1588632 80753 5.08 356344 14104 3.96 275864.7
33 Kansas 579827 67805 11.69 87546 12959 14.80 199026.6
34 Connecticut 1918724 61861 3.22 428826 5546 1.29 538168.2
36 Nebraska 519411 54467 10.49 88309 12189 13.80 268511.6
37 Idaho 340776 49892 14.64 48617 11149 22.93 190158.3
38 Oregon 761552 38160 5.01 115427 6657 5.77 180559.4
39 New Mexico 1011320 34290 3.39 138989 6303 4.53 482309.2
40 South Dakota 222321 30215 13.59 42189 10581 25.08 251307.0
41 North Dakota 703534 28947 4.11 128055 9966 7.78 923197.8
42 Rhode Island 912259 27164 2.98 205681 2987 1.45 861140.8
43 Delaware 316823 22465 7.09 40779 2635 6.46 325359.1
44 Montana 414579 20210 4.87 97419 9298 9.54 387900.0
45 West Virginia 649465 18823 2.90 123885 4308 3.48 363408.8
46 District of Columbia 448262 16132 3.60 84814 1082 1.28 635157.8
47 Hawaii 458472 13674 2.98 174403 1985 1.14 323808.9
48 Alaska 517177 10170 1.97 83979 3166 3.77 706965.4
49 New Hampshire 508079 9349 1.84 94688 1342 1.42 373666.9
50 Wyoming 111026 8177 7.36 16033 3008 18.76 191834.6
51 Maine 520402 5816 1.12 134367 646 0.48 387142.8
52 Vermont 175256 1889 1.08 17993 167 0.93 280863.9

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1564615 10226 0.66 1330483 85.04 192459 41196 337 0.82 2.63
Andhra Pradesh 771503 4038 0.53 725099 93.99 40047 6357 38 0.60 0.82
Karnataka 743848 8477 1.15 620008 83.35 113538 10283 85 0.83 1.38
Tamil Nadu 674802 4410 0.66 622458 92.24 41872 10472 49 0.47 1.55
Uttar Pradesh 447383 2672 0.60 404545 90.42 36295 6543 36 0.55 1.46
Delhi 321031 3483 1.10 292502 91.11 22605 5924 26 0.44 1.85
Kerala 317930 7789 2.51 222231 69.90 94517 1090 23 2.16 0.34
West Bengal 309417 3720 1.22 271563 87.77 31984 5870 62 1.07 1.90
Odisha 262011 2470 0.95 238535 91.04 22334 1142 17 1.51 0.44
Telangana 219224 2986 1.38 194653 88.79 23315 1256 15 1.21 0.57
Bihar 200825 1276 0.64 188802 94.01 11050 972 5 0.52 0.48
Assam 198982 769 0.39 169332 85.10 28804 843 9 1.08 0.42
Rajasthan 167279 2039 1.23 143984 86.07 21587 1708 14 0.83 1.02
Madhya Pradesh 156584 1308 0.84 139717 89.23 14157 2710 24 0.89 1.73
Gujarat 156283 1185 0.76 137970 88.28 14704 3609 11 0.31 2.31
Chhattisgarh 153515 2819 1.87 123943 80.74 28187 1385 46 3.44 0.90
Haryana 146706 1199 0.82 134719 91.83 10364 1623 9 0.56 1.11
Punjab 126230 470 0.37 115186 91.25 7090 3954 29 0.74 3.13
Jharkhand 94952 583 0.62 87240 91.88 6893 819 8 0.99 0.86
Jammu and Kashmir 86057 648 0.76 75641 87.90 9058 1358 6 0.44 1.58
Uttarakhand 56493 423 0.75 49631 87.85 5682 814 18 2.26 1.44
Goa 39770 332 0.84 35161 88.41 4084 525 6 1.16 1.32
Puducherry 32486 241 0.75 27365 84.24 4551 570 2 0.35 1.75
Tripura 29190 162 0.56 25742 88.19 3105 320 4 1.27 1.10
Himachal Pradesh 18303 295 1.64 15367 83.96 2654 255 5 2.00 1.39
Manipur 14378 304 2.16 11081 77.07 3193 104 1 0.97 0.72
Chandigarh 13477 74 0.55 12232 90.76 1044 201 2 1.01 1.49
Arunachal Pradesh 12971 203 1.59 9889 76.24 3052 30 1 3.45 0.23
Meghalaya 8164 173 2.16 5646 69.16 2445 73 3 4.29 0.89
Nagaland 7492 76 1.02 5960 79.55 1448 17 0 0.00 0.23
Ladakh 5393 89 1.68 4310 79.92 1018 65 1 1.56 1.21
Andaman and Nicobar Islands 4062 16 0.40 3817 93.97 190 55 0 0.00 1.35
Sikkim 3500 41 1.19 3048 87.09 312 59 0 0.00 1.69
Dadra and Nagar Haveli and Daman and Diu 3171 1 0.03 3073 96.91 71 2 0 0.00 0.06
Mizoram 2229 17 0.77 2121 95.15 108 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2379156 116644 1844 1.61 4.90 645 64 15218 17011 14.58
Piemonte 814570 40041 499 1.26 4.92 562 33 6387 4187 10.46
Emilia-Romagna 1326602 38695 339 0.88 2.92 383 35 7148 4502 11.63
Veneto 2095102 32973 657 2.03 1.57 271 35 7182 2226 6.75
Lazio 1060208 21407 543 2.60 2.02 937 85 11063 994 4.64
Campania 709225 20645 818 4.13 2.91 735 61 12443 487 2.36
Toscana 867671 19681 575 3.01 2.27 229 46 7427 1183 6.01
Liguria 357813 16264 362 2.28 4.55 286 29 3075 1623 9.98
Sicilia 568187 10292 366 3.69 1.81 447 49 5187 343 3.33
Puglia 467815 10164 315 3.20 2.17 311 23 4229 618 6.08
Marche 273839 8878 166 1.91 3.24 64 8 1537 992 11.17
P.A. Trento 253780 6542 29 0.45 2.58 20 0 658 413 6.31
Friuli Venezia Giulia 460113 5792 182 3.24 1.26 28 11 1554 356 6.15
Abruzzo 231053 5446 126 2.37 2.36 154 15 1801 489 8.98
Sardegna 218661 5417 122 2.30 2.48 172 26 2926 168 3.10
P.A. Bolzano 196147 4267 124 2.99 2.18 54 3 1118 293 6.87
Umbria 239714 3749 141 3.91 1.56 71 12 1623 91 2.43
Calabria 228678 2448 60 2.51 1.07 44 1 846 104 4.25
Valle d’Aosta 32021 1566 37 2.42 4.89 13 3 295 146 9.32
Basilicata 84449 1075 9 0.84 1.27 35 0 504 37 3.44
Molise 50091 813 18 2.26 1.62 9 0 224 26 3.20

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 88994 1203 1.37 5977 7 0.12 6.72 10423.68 700.07 1 in 96
Ontario 64092 792 1.25 3071 2 0.07 4.79 4356.49 208.74 1 in 230
Alberta 21199 243 1.16 287 1 0.35 1.35 4803.60 65.03 1 in 208
British Columbia 10892 158 1.47 250 0 0.00 2.30 2131.12 48.91 1 in 469
Manitoba 2925 146 5.25 37 2 5.71 1.26 2123.39 26.86 1 in 471
Saskatchewan 2199 25 1.15 25 0 0.00 1.14 1860.93 21.16 1 in 537
Nova Scotia 1092 0 0.00 65 0 0.00 5.95 1117.18 66.50 1 in 895
New Brunswick 292 8 2.82 2 0 0.00 0.68 374.36 2.56 1 in 2671
Newfoundland and Labrador 283 0 0.00 4 0 0.00 1.41 542.81 7.67 1 in 1842
Prince Edward Island 63 0 0.00 0 0 NaN 0.00 398.34 0.00 1 in 2510
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5201 105 2.02
Guangdong 1873 8 0.43
Zhejiang 1283 1 0.08
Henan 1281 22 1.72
Shanghai 1064 7 0.66
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 937 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 845 7 0.83
Sichuan 723 3 0.41
Jiangsu 667 0 0.00
Chongqing 585 6 1.03
Shaanxi 433 3 0.69
Fujian 416 1 0.24
Hebei 368 6 1.63
Liaoning 280 2 0.71
Inner Mongolia 270 1 0.37
Guangxi 260 2 0.77
Tianjin 245 3 1.22
Yunnan 211 2 0.95
Shanxi 208 0 0.00
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 24193.46 662.81 1 in 41
India 5457.13 83.10 1 in 183
Brazil 24562.17 725.02 1 in 41
Russia 9223.70 159.65 1 in 108
Argentina 21051.89 562.93 1 in 48
Colombia 18955.76 576.85 1 in 53
Spain 19461.12 716.10 1 in 51
Peru 26545.66 1038.82 1 in 38
Mexico 6419.47 657.11 1 in 156
France 12246.25 493.48 1 in 82
South Africa 12278.10 320.01 1 in 81
United Kingdom 9895.53 650.89 1 in 101
Iran 6323.55 361.62 1 in 158
Chile 26890.42 743.21 1 in 37
Iraq 10797.36 261.85 1 in 93
Bangladesh NA NA 1 in NA
Italy 6164.00 600.02 1 in 162
Philippines 3303.49 61.48 1 in 303
Indonesia 1305.87 46.05 1 in 766
Germany 4160.97 117.36 1 in 240

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 286183 6834 2.39
Miami-Dade Florida 176809 3501 1.98
Cook Illinois 159035 5332 3.35
Harris Texas 152977 2708 1.77
Maricopa Arizona 148152 3489 2.36
Dallas Texas 88372 1184 1.34
Broward Florida 80112 1492 1.86
Queens New York 74632 7282 9.76
Clark Nevada 73154 1461 2.00
Kings New York 72369 7361 10.17
Riverside California 63125 1269 2.01
Bexar Texas 60258 1370 2.27
San Bernardino California 59169 988 1.67
Tarrant Texas 57438 772 1.34
Orange California 56436 1391 2.46
Bronx New York 54077 4973 9.20
San Diego California 51470 847 1.65
Palm Beach Florida 48496 1472 3.04
Nassau New York 48272 2204 4.57
Suffolk New York 47711 2016 4.23
Hillsborough Florida 44811 734 1.64
Orange Florida 42778 528 1.23
Philadelphia Pennsylvania 39870 1838 4.61
Westchester New York 39200 1460 3.72
Salt Lake Utah 38949 284 0.73
Wayne Michigan 37702 3017 8.00
New York New York 34637 3189 9.21
Hidalgo Texas 34034 1892 5.56
Milwaukee Wisconsin 34017 554 1.63
Shelby Tennessee 33443 547 1.64
Kern California 33145 406 1.22
Duval Florida 32489 500 1.54
Hennepin Minnesota 31161 962 3.09
Prince George’s Maryland 31102 841 2.70
Mecklenburg North Carolina 31074 373 1.20
Travis Texas 30688 442 1.44
Franklin Ohio 29901 635 2.12
El Paso Texas 29887 564 1.89
Fresno California 29650 424 1.43
Middlesex Massachusetts 29587 2205 7.45
Fulton Georgia 29429 599 2.04
Gwinnett Georgia 29295 428 1.46
Davidson Tennessee 28895 324 1.12
St. Louis Missouri 27050 854 3.16
Pima Arizona 26727 633 2.37
Suffolk Massachusetts 26012 1153 4.43
King Washington 24610 791 3.21
Utah Utah 24279 67 0.28
Sacramento California 24060 462 1.92
Montgomery Maryland 24015 860 3.58
Marion Indiana 23852 776 3.25
Pinellas Florida 23623 792 3.35
Cameron Texas 23612 1058 4.48
Bergen New Jersey 23495 2050 8.73
Santa Clara California 22859 367 1.61
Oakland Michigan 22571 1224 5.42
Alameda California 22370 442 1.98
Fairfax Virginia 22340 600 2.69
Essex New Jersey 22129 2134 9.64
Jefferson Alabama 21897 364 1.66
Essex Massachusetts 21619 1318 6.10
Lee Florida 21613 489 2.26
Polk Florida 21456 569 2.65
Hudson New Jersey 21425 1520 7.09
Oklahoma Oklahoma 21260 212 1.00
Fairfield Connecticut 21183 1427 6.74
San Joaquin California 21100 483 2.29
Cobb Georgia 20924 444 2.12
Nueces Texas 20887 432 2.07
Middlesex New Jersey 20646 1436 6.96
Providence Rhode Island 20439 909 4.45
DeKalb Georgia 19969 384 1.92
DuPage Illinois 19967 592 2.96
Tulsa Oklahoma 19888 182 0.92
Passaic New Jersey 19812 1258 6.35
Wake North Carolina 19454 261 1.34
Baltimore Maryland 19275 649 3.37
Douglas Nebraska 19190 211 1.10
Lake Illinois 18859 499 2.65
Cuyahoga Ohio 18834 671 3.56
Jefferson Kentucky 18604 326 1.75
Union New Jersey 18440 1362 7.39
Jefferson Louisiana 18182 578 3.18
Contra Costa California 17866 233 1.30
Polk Iowa 17573 281 1.60
Stanislaus California 17160 389 2.27
Fort Bend Texas 17038 303 1.78
Tulare California 17015 273 1.60
Rockland New York 16972 680 4.01
Baltimore City Maryland 16647 494 2.97
Collin Texas 16588 168 1.01
Richmond New York 16559 1089 6.58
Macomb Michigan 16548 1055 6.38
Charleston South Carolina 16448 269 1.64
Richland South Carolina 16366 258 1.58
District of Columbia District of Columbia 16166 638 3.95
Will Illinois 16074 412 2.56
Hartford Connecticut 16058 1445 9.00
Greenville South Carolina 15994 330 2.06
Ocean New Jersey 15684 1054 6.72

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc